Aman Ullah

University of California, Riverside — United States

Mathematics · Physical Sciences

33h-index8.0kcitations174works1.32yr avg
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Research Topics

Statistical Methods and Inference(68), Financial Risk and Volatility Modeling(51), Advanced Statistical Methods and Models(50), Monetary Policy and Economic Impact(48), Spatial and Panel Data Analysis(22)

Publications173 total

High-sensitivity SNSPD-enabled swept source Raman spectroscopy for cancer detection with SERS nanoparticles
Optica·2025Open Access
Peripheral blood, lung and brain gene signatures in recovered and deceased patients with COVID-19
In Silico Pharmacology·2025Open Access
Computational model of alpha 7 nicotinic acetylcholine receptor in thalamic reticular nucleus neurons and their involvement in network states
PLoS ONE·2025Open Access
Brain Fog: Impact on Mental Health and Academic Performance Among Medical Students
Physical Education Health and Social Sciences·2025Open Access
Fungal Biotechnology in the Treatment of Chronic Diseases
2025
Semiparametric modal regression with varying coefficients and measurement error
Journal of Statistical Planning and Inference·2025
A predictive machine learning model for cannabinoid effect based on image detection of reactive oxygen species in microglia
PLoS ONE·2025· 1 citedOpen Access
Promoting Sustainable Development through Community Education on Flood- and Storm-Resistant Architecture
Rural and regional development·2025Open Access
Application of Finite Element Method to Problems with Mixed Boundary Conditions
GANIT Journal of Bangladesh Mathematical Society·2024· 1 citedOpen Access
Monocular depth estimation based on deep learning for intraoperative guidance using surface-enhanced Raman scattering imaging
Photonics Research·2024· 2 cited
A Review on Heavy Metals in Ecosystems, Their Sources, Roles, and Impact on Plant Life
Journal of Genetic Medicine and Gene Therapy·2024· 2 citedOpen Access
Synergistic Impact of Internet of Things and Big-Data-Driven Supply Chain on Sustainable Firm Performance
Sustainability·2024· 7 citedOpen Access
Shrinkage Estimation and Forecasting in Dynamic Regression Models Under Structural Instability
Journal of Econometric Methods·2024Open Access
Nonparametric estimation and forecasting of interval-valued time series regression models with constraints
Expert Systems with Applications·2024· 6 cited
Leveraging Blockchain and Big Data-Optimized Supply Chain for Eco-Innovative Firm Performance
SSRN Electronic Journal·2024· 1 citedOpen Access
The second-order bias and mean squared error of quantile regression estimators
Indian Economic Review·2023
Generalized kernel regularized least squares estimator with parametric error covariance
Advanced studies in theoretical and applied econometrics·2023Open Access
Semiparametric partially linear varying coefficient modal regression
Journal of Econometrics·2022· 23 cited
Forecasting Under Structural Breaks Using Improved Weighted Estimation
Oxford Bulletin of Economics and Statistics·2022· 2 citedOpen Access
Nonlinear Modal Regression for Dependent Data with Application for Predicting Covid-19
Journal of the Royal Statistical Society Series A (Statistics in Society)·2022· 24 citedOpen Access
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Frequent Co-authors

Liangjun Su(10), Adrian Pagan(3), V. K. Srivastava(3), Yong Bao(3), Yanqin Fan(2), Virendra Kishore Srivastava(2), Victoria Zinde‐Walsh(2), R.A.L. Carter(2), Santosh Mishra(2), Weixin Yao(2), M. Hashem Pesaran(1), Takashi Yamagata(1), Raveendra N. Batra(1), Paul Rilstone(1), Tae‐Hwy Lee(1), Ran Wang(1), Anil K. Srivastava(1), Ronald A. Ratti(1), Daniel J. Henderson(1), Sami Ullah(1)